Replication Material for "Austerity and Aggression: Government Responses to IMF Conditionality"

## 1 Information

Authors: Richard Clark and Anna M. Meyerrose
Date: February 16, 2024
Contact email: richard.clark@cornell.edu

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# 2 File overview

## 2.1 Data files for figures and analysis

states2016 - CoW state list (downloaded 9/21/21)

prelimimp - imputed data without lagged independent variables

prelimlag - unimputed data with lagged independent variables

prelimlagimp - imputed data with lagged independent variables

prelim - unimputed data without lagged independent variables

memsimp - imputed data with lagged independent variables for IMF program participation selection adjustment test

cmp_parlgov_vdem_combined.RData - dataset with combined variables from CMP, ParlGov, and V-Dem

cmp_regression_variables.RData - dataset used for CMP regressions reported in Appendix; contains variables from CMP dataset and ParlGov dataset

Files in the translations folder (bulgaria; english; hebrew_thru_latvian; macedonian_thru_ukrainian; spanish_thru_italian) - text from manifesto project translated into English with google translate API

## 2.2 .R files

Appendix_cmp_tables.R - contains code for CMP regression appendix tables

analysis.R - contains code for main analyses and robustness checks, including regression results and text analysis

Manuscript_Fig3.R - contains code for Figure 3 in the manuscript

## 2.3 R Version 

All data analyses in this article were carried out using RStudio 2021.09.1+372 "Ghost Orchid" for Mac and R version 4.1.2 for Mac. MacOS used for analysis is Sonoma 14.2.1.

Please note that the STM results and supporting text analyses included in the paper and appendices will only replicate exactly on Mac. Results will differ on Windows machines. All other quantitative analyses replicate with either system. 

## 2.4 Codebook

We include two codebooks corresponding to the data used for analysis.

codebook_cmp_regression_variables - codebook for variables from the manifesto project used in the text analysis and robustness checks with CMP coding

codebook_prelim_lag_imp: codebook for prelimlagimp, variables are same for other datasets mentioned above. Data source files also described therein

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## 3 List of required Packages

Note: All packages are available from CRAN as of 6/23/23. 

{foreign, ggplot2, plm, reshape2, countrycode, sandwich, lmtest, MASS, qdapRegex, rworldmap, RColorBrewer, states, mice, VIM, stargazer, margins, clusterSEs, lme4, optimx, coefplot, lattice, survey, dplyr, wordcloud, survey, sampleSelection, quanteda, Matrix, ldatuning, topicmodels, readtext, stm, lda, bursts, tidytext, haven, tm, readstata13, fastDummies, panelView, igraph, NetMix, dnr, statnet, network, sna, DataCombine, sensemakr, estimatr, tidyverse, manifestoR, sjstats, texreg, rlist, pipeR}
